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» Empirical comparison of algorithms for network community det...
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ASUNAM
2009
IEEE
14 years 18 days ago
Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
Romain Bourqui, Frédéric Gilbert, Pa...
WWW
2008
ACM
14 years 8 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...
COMSWARE
2008
IEEE
13 years 9 months ago
Extracting dense communities from telecom call graphs
Social networks refer to structures made of nodes that represent people or other entities embedded in a social context, and whose edges represent interaction between entities. Typi...
Vinayaka Pandit, Natwar Modani, Sougata Mukherjea,...
MASCOTS
2010
13 years 9 months ago
OnTimeDetect: Dynamic Network Anomaly Notification in perfSONAR Deployments
To monitor and diagnose bottlenecks on network paths used for large-scale data transfers, there is an increasing trend to deploy measurement frameworks such as perfSONAR. These dep...
Prasad Calyam, Jialu Pu, Weiping Mandrawa, Ashok K...
ICPR
2008
IEEE
14 years 1 months ago
Detecting hubs and quasi cliques in scale-free networks
Scale-free networks are believed to closely model most real-world networks. An interesting property of such networks is the existence of so-called hub and community structures. In...
Sriganesh Srihari, Hoong Kee Ng, Kang Ning, Hon Wa...